Bibliography#
Seoyoung Ahn, Conor Kelton, Aruna Balasubramanian, and Greg Zelinsky. Towards predicting reading comprehension from gaze behavior. In ACM Symposium on Eye Tracking Research and Applications, ETRA '20 Short Papers. New York, NY, USA, 2020. Association for Computing Machinery. URL: https://doi.org/10.1145/3379156.3391335, doi:10.1145/3379156.3391335.
Özge Alacam, Sanne Hoeken, and Sina Zarrieß. Eyes don`t lie: subjective hate annotation and detection with gaze. In Yaser Al-Onaizan, Mohit Bansal, and Yun-Nung Chen, editors, Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 187–205. Miami, Florida, USA, November 2024. Association for Computational Linguistics. URL: https://aclanthology.org/2024.emnlp-main.11/, doi:10.18653/v1/2024.emnlp-main.11.
Tarek Alakmeh, David Reich, Lena Jäger, and Thomas Fritz. Predicting code comprehension: a novel approach to align human gaze with code using deep neural networks. Proc. ACM Softw. Eng., jul 2024. URL: https://doi.org/10.1145/3660795, doi:10.1145/3660795.
Lindsay M. Alexander, Jasmine Escalera, Lei Ai, Charissa Andreotti, Karina Febre, Alexander Mangone, Natan Vega-Potler, Nicolas Langer, Alexis Alexander, Meagan Kovacs, Shannon Litke, Bridget O'Hagan, Jennifer Andersen, Batya Bronstein, Anastasia Bui, Marijayne Bushey, Henry Butler, Victoria Castagna, Nicolas Camacho, Elisha Chan, Danielle Citera, Jon Clucas, Samantha Cohen, Sarah Dufek, Megan Eaves, Brian Fradera, Judith Gardner, Natalie Grant-Villegas, Gabriella Green, Camille Gregory, Emily Hart, Shana Harris, Megan Horton, Danielle Kahn, Katherine Kabotyanski, Bernard Karmel, Simon P. Kelly, Kayla Kleinman, Bonhwang Koo, Eliza Kramer, Elizabeth Lennon, Catherine Lord, Ginny Mantello, Amy Margolis, Kathleen R. Merikangas, Judith Milham, Giuseppe Minniti, Rebecca Neuhaus, Alexandra Levine, Yael Osman, Lucas C. Parra, Ken R. Pugh, Amy Racanello, Anita Restrepo, Tian Saltzman, Batya Septimus, Russell Tobe, Rachel Waltz, Anna Williams, Anna Yeo, Francisco X. Castellanos, Arno Klein, Tomas Paus, Bennett L. Leventhal, R. Cameron Craddock, Harold S. Koplewicz, and Michael P. Milham. An open resource for transdiagnostic research in pediatric mental health and learning disorders. Scientific data, 4(1):1–26, 2017. URL: https://www.nature.com/articles/sdata2017181, doi:https://doi.org/10.1038/sdata.2017.181.
Yevgeni Berzak, Jonathan Malmaud, Omer Shubi, Yoav Meiri, Ella Lion, and Roger Levy. Onestop: a 360-participant english eye tracking dataset with different reading regimes. PsyArXiv preprint, 2025. URL: https://osf.io/preprints/psyarxiv/kgxv5_v2, doi:https://doi.org/10.31234/osf.io/kgxv5_v2.
Marina Björnsdóttir, Nora Hollenstein, and Maria Barrett. Dyslexia prediction from natural reading of Danish texts. In Tanel Alumäe and Mark Fishel, editors, Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa), 60–70. Tórshavn, Faroe Islands, May 2023. University of Tartu Library. URL: https://aclanthology.org/2023.nodalida-1.7.
Lena Sophia Bolliger, Patrick Haller, Isabelle Caroline Rose Cretton, David Robert Reich, Tannon Kew, and Lena Ann Jäger. Emtec: a corpus of eye movements on machine-generated texts. 2024. URL: https://arxiv.org/abs/2408.04289, arXiv:2408.04289.
Anna Bondar, David R. Reich, and Lena A. Jäger. Colagaze: a corpus of eye movements for linguistic acceptability. In 2025 Symposium on Eye Tracking Research and Applications, ETRA '25. New York, NY, USA, 2025. Association for Computing Machinery. doi:10.1145/3715669.3723120.
Antoine Coutrot, Nicola Binetti, Charlotte Harrison, Isabelle Mareschal, and Alan Johnston. Face exploration dynamics differentiate men and women. Journal of Vision, 16(14):16–16, 11 2016. URL: https://doi.org/10.1167/16.14.16, doi:10.1167/16.14.16.
Ralf Engbert and Reinhold Kliegl. Microsaccades uncover the orientation of covert attention. Vision Research, 43(9):1035–1045, 2003. doi:10.1016/S0042-6989(03)00084-1.
Ralf Engbert, Petra Sinn, Konstantin Mergenthaler, and Hans Trukenbrod. Microsaccade toolbox 0.9. 2015. URL: http://read.psych.uni-potsdam.de/index.php?view=article&id=140.
Stefan L. Frank, Irene Fernandez Monsalve, Robin L. Thompson, and Gabriella Vigliocco. Reading time data for evaluating broad-coverage models of English sentence processing. Behavior Research Methods, 2013. doi:10.3758/s13428-012-0313-y.
Henry Griffith, Dillon Lohr, Evgeny Abdulin, and Oleg Komogortsev. GazeBase, a large-scale, multi-stimulus, longitudinal eye movement dataset. Scientific Data, 8:, 2021. doi:10.1038/s41597-021-00959-y.
Nora Hollenstein, Maria Barrett, and Marina Björnsdóttir. The Copenhagen corpus of eye tracking recordings from natural reading of Danish texts. In Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, and Stelios Piperidis, editors, Proceedings of the Thirteenth Language Resources and Evaluation Conference, 1712–1720. Marseille, France, June 2022. European Language Resources Association. URL: https://aclanthology.org/2022.lrec-1.182.
Deborah N. Jakobi, Thomas Kern, David R. Reich, Patrick Haller, and Lena A. Jäger. PoTeC: a German naturalistic eye-tracking-while-reading corpus. 2024. under review. URL: DiLi-Lab/PoTeC.
Victor Kuperman, Sascha Schroeder, Cengiz Acartürk, Niket Agrawal, Dominick M. Alexandre, Lena S. Bolliger, Jan Brasser, César Campos-Rojas, Denis Drieghe, Dušica Filipović Đurđević, and et al. New data on text reading in english as a second language: the wave 2 expansion of the multilingual eye-movement corpus (meco). Studies in Second Language Acquisition, pages 1–19, 2025. doi:10.1017/S0272263125000105.
Victor Kuperman, Noam Siegelman, Sascha Schroeder, Cengiz Acartürk, Svetlana Alexeeva, Simona Amenta, Raymond Bertram, Rolando Bonandrini, Marc Brysbaert, Daria Chernova, and et al. Text reading in english as a second language: evidence from the multilingual eye-movements corpus. Studies in Second Language Acquisition, 45(1):3–37, 2023. doi:10.1017/S0272263121000954.
Guohao Lan, Bailey Heit, Tim Scargill, and Maria Gorlatova. GazeGraph: graph-based few-shot cognitive context sensing from human visual behavior. In Proceedings of the 18th Conference on Embedded Networked Sensor Systems (SenSys), SenSys '20, 422–435. New York, NY, USA, 2020. Association for Computing Machinery. URL: https://doi.org/10.1145/3384419.3430774, doi:10.1145/3384419.3430774.
Dillon Lohr, Samantha Aziz, Lee Friedman, and Oleg Komogortsev. GazeBaseVR, a large-scale, longitudinal, binocular eye-tracking dataset collected in virtual reality. Scientific Data, 10:, 2023. doi:10.1038/s41597-023-02075-5.
Steven G. Luke and Kiel Christianson. The Provo Corpus: a large eye-tracking corpus with predictability norms. Behavior Research Methods, 50(2):826–833, 2018. URL: https://link.springer.com/article/10.3758/s13428-017-0908-4, doi:https://doi.org/10.3758/s13428-017-0908-4.
Kishan Maharaj, Ashita Saxena, Raja Kumar, Abhijit Mishra, and Pushpak Bhattacharyya. Eyes show the way: modelling gaze behaviour for hallucination detection. In Houda Bouamor, Juan Pino, and Kalika Bali, editors, Findings of the Association for Computational Linguistics: EMNLP 2023, 11424–11438. Singapore, December 2023. Association for Computational Linguistics. URL: https://aclanthology.org/2023.findings-emnlp.764/, doi:10.18653/v1/2023.findings-emnlp.764.
Silvia Makowski, Lena A. Jäger, Paul Prasse, and Tobias Scheffer. JuDo1000 eye tracking data set. 2020. doi:10.17605/OSF.IO/5ZPVK.
Shingo Nahatame, Tomoko Ogiso, Yukino Kimura, and Yuji Ushiro. Teco: an eye-tracking corpus of japanese l2 english learners’ text reading. Research Methods in Applied Linguistics, 3(2):100123, 2024. URL: https://www.sciencedirect.com/science/article/pii/S2772766124000296, doi:https://doi.org/10.1016/j.rmal.2024.100123.
Jinger Pan, Ming Yan, Eike M. Richter, Hua Shu, and Reinhold Kliegl. The Beijing Sentence Corpus: a Chinese sentence corpus with eye movement data and predictability norms. Behavior Research Methods, 2022. URL: https://link.springer.com/article/10.3758/s13428-021-01730-2, doi:https://doi.org/10.3758/s13428-021-01730-2.
Adam Pantanowitz, Kimoon Kim, Chelsey Chewins, and David M Rubin. Gaze tracking dataset for comparison of smooth and saccadic eye tracking. Data in Brief, 34:106730, 2021. URL: https://www.sciencedirect.com/science/article/pii/S2352340921000160, doi:https://doi.org/10.1016/j.dib.2021.106730.
Paul Prasse, David R. Reich, Jakob Chwastek, Silvia Makowski, Lena A. Jäger, and Tobias Scheffer. Detection of alcohol inebriation from eye movements using remote and wearable eye trackers. In Proceedings of the ACM Symposium on Eye Tracking Research and Applications. 2025. doi:10.1145/3715669.3723109.
David R. Reich, Shuwen Deng, Marina Björnsdóttir, Lena Jäger, and Nora Hollenstein. Reading does not equal reading: comparing, simulating and exploiting reading behavior across populations. In Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue, editors, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 13586–13594. Torino, Italia, May 2024. ELRA and ICCL. URL: https://aclanthology.org/2024.lrec-main.1187.
Dario D. Salvucci and Joseph H. Goldberg. Identifying fixations and saccades in eye-tracking protocols. Proceedings of the 2000 Symposium on Eye Tracking Research & Applications, pages 71–78, 2000. doi:10.1145/355017.355028.
Lisa Schwetlick, Matthias Kümmerer, Matthias Bethge, and Ralf Engbert. Potsdam data set of eye movement on natural scenes (daemons). Frontiers in Psychology, 2024. URL: https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2024.1389609, doi:10.3389/fpsyg.2024.1389609.
Jan Sedmidubsky, Nicol Dostalova, Roman Svaricek, and Wolf Culemann. Etdd70: eye-tracking dataset for classification of dyslexia using ai-based methods. In Edgar Chávez, Benjamin Kimia, Jakub Lokoč, Marco Patella, and Jan Sedmidubsky, editors, Similarity Search and Applications, 34–48. Cham, 2025. Springer Nature Switzerland. URL: https://link.springer.com/chapter/10.1007/978-3-031-75823-2_3, doi:https://doi.org/10.1007/978-3-031-75823-2_3.
Noam Siegelman, Sascha Schroeder, Cengiz Acartürk, Hee-Don Ahn, Svetlana Alexeeva, Simona Amenta, Raymond Bertram, Rolando Bonandrini, Marc Brysbaert, Daria Chernova, and others. Expanding horizons of cross-linguistic research on reading: The Multilingual Eye-movement Corpus (MECO). Behavior research methods, 54(6):2843–2863, 2022. doi:10.3758/s13428-021-01772-6.
Ömer Sümer, Efe Bozkir, Thomas Kübler, Sven Grüner, Sonja Utz, and Enkelejda Kasneci. Fakenewsperception: an eye movement dataset on the perceived believability of news stories. Data in Brief, 35:106909, 03 2021. doi:10.1016/j.dib.2021.106909.
Emiel van Miltenburg, Ákos Kádár, Ruud Koolen, and Emiel Krahmer. DIDEC: the Dutch image description and eye-tracking corpus. In Emily M. Bender, Leon Derczynski, and Pierre Isabelle, editors, Proceedings of the 27th International Conference on Computational Linguistics, 3658–3669. Santa Fe, New Mexico, USA, August 2018. Association for Computational Linguistics. URL: https://aclanthology.org/C18-1310.
Ming Yan, Jinger Pan, and Reinhold Kliegl. The Beijing Sentence Corpus II: a cross-script comparison between traditional and simplified chinese sentence reading. Behavior Research Methods, 2025. URL: https://link.springer.com/article/10.3758/s13428-024-02523-z, doi:https://doi.org/10.3758/s13428-024-02523-z.
Francesca Zermiani, Prajit Dhar, Ekta Sood, Fabian Kögel, Andreas Bulling, and Maria Wirzberger. InteRead: an eye tracking dataset of interrupted reading. In Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue, editors, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 9154–9169. Torino, Italia, May 2024. ELRA and ICCL. URL: https://aclanthology.org/2024.lrec-main.802.
Guangyao Zhang, Panpan Yao, Guojie Ma, Jingwen Wang, Junyi Zhou, Linjieqiong Huang, Pingping Xu, Lijing Chen, Songlin Chen, Junjuan Gu, Wei Wei, Xi Cheng, Huimin Hua, Pingping Liu, Ya Lou, Wei Shen, Yaqian Bao, Jiayu Liu, Nan Lin, and Xingshan Li. The database of eye-movement measures on words in Chinese reading. Scientific Data, 9(1):1–8, 2022. doi:10.1038/s41597-022-01464-6.